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Connected and Multimodal Passenger Transport Through Big Data Analytics: Case Tampere City Region, Finland

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationCollaborative Networks and Digital Transformation - 20th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2019, Proceedings
EditorsLuis M. Camarinha-Matos, Hamideh Afsarmanesh, Dario Antonelli
PublisherSpringer New York LLC
Pages527-538
Number of pages12
ISBN (Print)9783030284633
DOIs
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventIFIP Working Conference on Virtual Enterprises - Turin, Italy
Duration: 23 Sep 201925 Sep 2019

Publication series

NameIFIP Advances in Information and Communication Technology
Volume568
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

ConferenceIFIP Working Conference on Virtual Enterprises
CountryItaly
CityTurin
Period23/09/1925/09/19

Abstract

Passenger transport is becoming more and more connected and multimodal. Instead of just taking a series of vehicles to complete a journey, the passenger is actually interacting with a connected cyber-physical social (CPS) transport system. In this study, we present a case study where big data from various sources is combined and analyzed to support and enhance the transport system in the Tampere region. Different types of static and real-time data sources and transportation related APIs are investigated. The goal is to find ways in which big data and collaborative networks can be used to improve the CPS transport system itself and the passenger satisfaction related to it. The study shows that even though the exploitation of big data does not directly improve the state of the physical transport infrastructure, it helps in utilizing more of its capacity. Secondly, the use of big data makes it more attractive to passengers.

Keywords

  • Analytics, API, Big data, Collaborative network, Cyber-physical social system, Mobility, Open data, Passenger transport

Publication forum classification

Field of science, Statistics Finland